Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
Xiaolong Zhai, Beth Jelfs, Rosa H. M. Chan, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 325

Showing 1-25 of 325 citing articles:

Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 896
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
Yu Hu, Yongkang Wong, Wentao Wei, et al.
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0206049-e0206049
Open Access | Times Cited: 326
Deep Learning for EMG-based Human-Machine Interaction: A Review
Dezhen Xiong, Daohui Zhang, Xingang Zhao, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 3, pp. 512-533
Closed Access | Times Cited: 256
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
Wentao Wei, Yongkang Wong, Yu Du, et al.
Pattern Recognition Letters (2017) Vol. 119, pp. 131-138
Closed Access | Times Cited: 238
Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network
Xiaolong Zhai, Chung Tin
IEEE Access (2018) Vol. 6, pp. 27465-27472
Open Access | Times Cited: 238
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Angkoon Phinyomark, Erik Scheme
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 3, pp. 21-21
Open Access | Times Cited: 212
Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning
Wentao Wei, Qingfeng Dai, Yongkang Wong, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 10, pp. 2964-2973
Closed Access | Times Cited: 207
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
Muhammad Zia ur Rehman, Asim Waris, Syed Omer Gilani, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2497-2497
Open Access | Times Cited: 202
EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization
Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, et al.
Computation (2019) Vol. 7, Iss. 1, pp. 12-12
Open Access | Times Cited: 146
Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future
Wei Li, Ping Shi, Hongliu Yu
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 131
Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control
Linda Resnik, He Huang, Anna T. Winslow, et al.
Journal of NeuroEngineering and Rehabilitation (2018) Vol. 15, Iss. 1
Open Access | Times Cited: 144
Deep Convolutional Neural Network Based ECG Classification System Using Information Fusion and One-Hot Encoding Techniques
Jia Li, Yujuan Si, Tao Xu, et al.
Mathematical Problems in Engineering (2018) Vol. 2018, pp. 1-10
Open Access | Times Cited: 121
sEMG-Based Gesture Recognition with Convolution Neural Networks
Zhen Ding, Chifu Yang, Zhihong Tian, et al.
Sustainability (2018) Vol. 10, Iss. 6, pp. 1865-1865
Open Access | Times Cited: 110
Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG
Ali Raza Asif, Asim Waris, Syed Omer Gilani, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1642-1642
Open Access | Times Cited: 107
A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks
Keun-Tae Kim, Cuntai Guan, Seong‐Whan Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 94-103
Closed Access | Times Cited: 106
FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography
Elahe Rahimian, Soheil Zabihi, Amir Asif, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1004-1015
Open Access | Times Cited: 100
Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses
Iris Kyranou, Sethu Vijayakumar, Mustafa Suphi Erden
Frontiers in Neurorobotics (2018) Vol. 12
Open Access | Times Cited: 98
Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners
Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, et al.
Applied Sciences (2019) Vol. 9, Iss. 11, pp. 2331-2331
Open Access | Times Cited: 96
Gesture recognition based on surface electromyography‐featureimage
Yangwei Cheng, Gongfa Li, Mingchao Yu, et al.
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 6
Closed Access | Times Cited: 84
Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG
Gang Wang, Dong Wang, Changwang Du, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 2711-2720
Open Access | Times Cited: 84
Real-Time Detection of Acute Cognitive Stress Using a Convolutional Neural Network From Electrocardiographic Signal
Jiayuan He, Ke Li, Xiaoli Liao, et al.
IEEE Access (2019) Vol. 7, pp. 42710-42717
Open Access | Times Cited: 77
EMG hand gesture classification using handcrafted and deep features
Jose Manuel Fajardo, Orlando Jaramillo Gómez, Flavio Prieto
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102210-102210
Closed Access | Times Cited: 74
Classification of electromyographic hand gesture signals using machine learning techniques
Guangyu Jia, Hak‐Keung Lam, Junkai Liao, et al.
Neurocomputing (2020) Vol. 401, pp. 236-248
Closed Access | Times Cited: 71
A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN
Yongxiang Zou, Long Cheng
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 5, pp. 447-458
Open Access | Times Cited: 59
Toward Robust, Adaptiveand Reliable Upper-Limb Motion Estimation Using Machine Learning and Deep Learning–A Survey in Myoelectric Control
Tianzhe Bao, Sheng Quan Xie, Pengfei Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3822-3835
Open Access | Times Cited: 46
Page 1 - Next Page

Scroll to top